Overview

Dataset statistics

Number of variables73
Number of observations17319
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory80.7 B

Variable types

Numeric11
Categorical62

Alerts

PPE_40H is highly correlated with PPE_45HHigh correlation
PPE_40C is highly correlated with PPE_45CHigh correlation
PPE_45E is highly correlated with PPE_40EHigh correlation
PPE_05 is highly correlated with PPE_25High correlation
PPE_40E is highly correlated with PPE_45EHigh correlation
PPE_35A is highly correlated with PPE_30AHigh correlation
PPE_25 is highly correlated with PPE_05High correlation
PPE_35F is highly correlated with PPE_30FHigh correlation
PPE_45B is highly correlated with PPE_40B and 1 other fieldsHigh correlation
PPE_30E is highly correlated with PPE_35EHigh correlation
PPE_30B is highly correlated with PPE_30G and 2 other fieldsHigh correlation
IMMDVGST is highly correlated with PGDVFLAHigh correlation
PPE_40B is highly correlated with PPE_45B and 1 other fieldsHigh correlation
PPE_35H is highly correlated with PPE_30HHigh correlation
PPE_40A is highly correlated with PPE_45A and 1 other fieldsHigh correlation
PPE_30G is highly correlated with PPE_30B and 2 other fieldsHigh correlation
PPE_30D is highly correlated with PPE_35DHigh correlation
PPE_15A is highly correlated with PPE_10High correlation
PPE_30H is highly correlated with PPE_35HHigh correlation
PPE_45H is highly correlated with PPE_40HHigh correlation
PPE_35C is highly correlated with PPE_30CHigh correlation
PPE_45D is highly correlated with PPE_40DHigh correlation
PPE_30F is highly correlated with PPE_35FHigh correlation
PPE_10 is highly correlated with PPE_15A and 2 other fieldsHigh correlation
PPE_30C is highly correlated with PPE_35CHigh correlation
PPE_40G is highly correlated with PPE_45GHigh correlation
PPE_45A is highly correlated with PPE_40A and 1 other fieldsHigh correlation
PPE_45F is highly correlated with PPE_40FHigh correlation
PPE_35B is highly correlated with PPE_30B and 2 other fieldsHigh correlation
PPE_40I is highly correlated with PPE_40B and 2 other fieldsHigh correlation
PPE_45C is highly correlated with PPE_40CHigh correlation
PPE_20 is highly correlated with PPE_30B and 3 other fieldsHigh correlation
PPE_35D is highly correlated with PPE_30DHigh correlation
PPE_35G is highly correlated with PPE_30G and 2 other fieldsHigh correlation
PPE_40F is highly correlated with PPE_45FHigh correlation
PGDVFLA is highly correlated with IMMDVGSTHigh correlation
PPE_35E is highly correlated with PPE_30EHigh correlation
PPE_30A is highly correlated with PPE_35AHigh correlation
PPE_15B is highly correlated with PPE_10High correlation
PPE_40D is highly correlated with PPE_45DHigh correlation
PPE_45G is highly correlated with PPE_40GHigh correlation
PPE_45I is highly correlated with PPE_45B and 2 other fieldsHigh correlation
PPE_15D is highly correlated with PPE_10High correlation
GEODVGPR is highly correlated with ENVDVGRWHigh correlation
EMPDVGYW is highly correlated with AGEDVG4High correlation
ENVDVGRW is highly correlated with GEODVGPRHigh correlation
PPE_05 is highly correlated with PPE_50A and 1 other fieldsHigh correlation
PPE_10 is highly correlated with PPE_15A and 6 other fieldsHigh correlation
PPE_15A is highly correlated with PPE_10 and 5 other fieldsHigh correlation
PPE_15B is highly correlated with PPE_10 and 4 other fieldsHigh correlation
PPE_15C is highly correlated with PPE_10 and 2 other fieldsHigh correlation
PPE_15D is highly correlated with PPE_10 and 5 other fieldsHigh correlation
PPE_15E is highly correlated with PPE_10 and 6 other fieldsHigh correlation
PPE_15F is highly correlated with PPE_10 and 6 other fieldsHigh correlation
PPE_15G is highly correlated with PPE_15E and 3 other fieldsHigh correlation
PPE_15H is highly correlated with PPE_10 and 3 other fieldsHigh correlation
PPE_15J is highly correlated with PPE_15GHigh correlation
PPE_20 is highly correlated with PPE_25 and 4 other fieldsHigh correlation
PPE_25 is highly correlated with PPE_20 and 2 other fieldsHigh correlation
PPE_30A is highly correlated with PPE_30B and 12 other fieldsHigh correlation
PPE_30B is highly correlated with PPE_20 and 12 other fieldsHigh correlation
PPE_30C is highly correlated with PPE_30A and 9 other fieldsHigh correlation
PPE_30D is highly correlated with PPE_30A and 12 other fieldsHigh correlation
PPE_30E is highly correlated with PPE_30A and 12 other fieldsHigh correlation
PPE_30F is highly correlated with PPE_30A and 12 other fieldsHigh correlation
PPE_30G is highly correlated with PPE_20 and 11 other fieldsHigh correlation
PPE_30H is highly correlated with PPE_35HHigh correlation
PPE_35A is highly correlated with PPE_30A and 12 other fieldsHigh correlation
PPE_35B is highly correlated with PPE_20 and 12 other fieldsHigh correlation
PPE_35C is highly correlated with PPE_30A and 9 other fieldsHigh correlation
PPE_35D is highly correlated with PPE_30A and 12 other fieldsHigh correlation
PPE_35E is highly correlated with PPE_30A and 12 other fieldsHigh correlation
PPE_35F is highly correlated with PPE_30A and 12 other fieldsHigh correlation
PPE_35G is highly correlated with PPE_20 and 11 other fieldsHigh correlation
PPE_35H is highly correlated with PPE_30HHigh correlation
PPE_40A is highly correlated with PPE_40B and 4 other fieldsHigh correlation
PPE_40B is highly correlated with PPE_40A and 5 other fieldsHigh correlation
PPE_40C is highly correlated with PPE_45CHigh correlation
PPE_40D is highly correlated with PPE_40A and 5 other fieldsHigh correlation
PPE_40E is highly correlated with PPE_45EHigh correlation
PPE_40F is highly correlated with PPE_45FHigh correlation
PPE_40G is highly correlated with PPE_45GHigh correlation
PPE_40H is highly correlated with PPE_45HHigh correlation
PPE_40I is highly correlated with PPE_40A and 5 other fieldsHigh correlation
PPE_45A is highly correlated with PPE_40A and 3 other fieldsHigh correlation
PPE_45B is highly correlated with PPE_40B and 5 other fieldsHigh correlation
PPE_45C is highly correlated with PPE_40CHigh correlation
PPE_45D is highly correlated with PPE_40B and 3 other fieldsHigh correlation
PPE_45E is highly correlated with PPE_40EHigh correlation
PPE_45F is highly correlated with PPE_40FHigh correlation
PPE_45G is highly correlated with PPE_40GHigh correlation
PPE_45H is highly correlated with PPE_40HHigh correlation
PPE_45I is highly correlated with PPE_40A and 6 other fieldsHigh correlation
PPE_50A is highly correlated with PPE_05 and 5 other fieldsHigh correlation
PPE_50B is highly correlated with PPE_05 and 5 other fieldsHigh correlation
PPE_50C is highly correlated with PPE_50A and 4 other fieldsHigh correlation
PPE_50D is highly correlated with PPE_50A and 4 other fieldsHigh correlation
PPE_50E is highly correlated with PPE_50C and 2 other fieldsHigh correlation
PPE_50F is highly correlated with PPE_50A and 4 other fieldsHigh correlation
AGEDVG4 is highly correlated with EMPDVGYWHigh correlation
PGDVFLA is highly correlated with IMMDVGSTHigh correlation
IMMDVGST is highly correlated with PGDVFLAHigh correlation
df_index is uniformly distributed Uniform
df_index has unique values Unique

Reproduction

Analysis started2022-02-27 23:19:32.140757
Analysis finished2022-02-27 23:20:49.176185
Duration1 minute and 17.04 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct17319
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9086.229921
Minimum0
Maximum18138
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum0
5-th percentile904.9
Q14539
median9094
Q313643.5
95-th percentile17233.1
Maximum18138
Range18138
Interquartile range (IQR)9104.5

Descriptive statistics

Standard deviation5243.437934
Coefficient of variation (CV)0.5770751984
Kurtosis-1.204029868
Mean9086.229921
Median Absolute Deviation (MAD)4552
Skewness-0.004443962267
Sum157364416
Variance27493641.37
MonotonicityStrictly increasing
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
< 0.1%
121351
 
< 0.1%
121201
 
< 0.1%
121211
 
< 0.1%
121221
 
< 0.1%
121231
 
< 0.1%
121241
 
< 0.1%
121251
 
< 0.1%
121261
 
< 0.1%
121271
 
< 0.1%
Other values (17309)17309
99.9%
ValueCountFrequency (%)
01
< 0.1%
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
ValueCountFrequency (%)
181381
< 0.1%
181371
< 0.1%
181361
< 0.1%
181351
< 0.1%
181341
< 0.1%
181331
< 0.1%
181321
< 0.1%
181311
< 0.1%
181301
< 0.1%
181291
< 0.1%

GEODVGPR
Real number (ℝ≥0)

HIGH CORRELATION

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.50308909
Minimum10
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum10
5-th percentile10
Q130
median30
Q345
95-th percentile50
Maximum60
Range50
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.93034272
Coefficient of variation (CV)0.3978188868
Kurtosis-0.8302022962
Mean32.50308909
Median Absolute Deviation (MAD)10
Skewness-0.2051789052
Sum562921
Variance167.1937628
MonotonicityNot monotonic
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
307898
45.6%
482502
 
14.4%
102485
 
14.3%
451629
 
9.4%
501601
 
9.2%
201114
 
6.4%
6090
 
0.5%
ValueCountFrequency (%)
102485
 
14.3%
201114
 
6.4%
307898
45.6%
451629
 
9.4%
482502
 
14.4%
501601
 
9.2%
6090
 
0.5%
ValueCountFrequency (%)
6090
 
0.5%
501601
 
9.2%
482502
 
14.4%
451629
 
9.4%
307898
45.6%
201114
 
6.4%
102485
 
14.3%

EMP_10
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
14136 
1
3183 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
214136
81.6%
13183
 
18.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
214136
81.6%
13183
 
18.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

EMP_35
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
12883 
2
4436 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
112883
74.4%
24436
 
25.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
112883
74.4%
24436
 
25.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

EMP_45
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
12636 
2
3209 
3
1474 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
112636
73.0%
23209
 
18.5%
31474
 
8.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
112636
73.0%
23209
 
18.5%
31474
 
8.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

EMPDVGOC
Real number (ℝ≥0)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.363300422
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q35
95-th percentile8
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.748627294
Coefficient of variation (CV)0.859126563
Kurtosis466.4285693
Mean4.363300422
Median Absolute Deviation (MAD)1
Skewness18.57489148
Sum75568
Variance14.05220659
MonotonicityNot monotonic
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
57491
43.3%
25199
30.0%
61498
 
8.6%
81434
 
8.3%
3602
 
3.5%
1545
 
3.1%
7268
 
1.5%
4262
 
1.5%
9920
 
0.1%
ValueCountFrequency (%)
1545
 
3.1%
25199
30.0%
3602
 
3.5%
4262
 
1.5%
57491
43.3%
61498
 
8.6%
7268
 
1.5%
81434
 
8.3%
9920
 
0.1%
ValueCountFrequency (%)
9920
 
0.1%
81434
 
8.3%
7268
 
1.5%
61498
 
8.6%
57491
43.3%
4262
 
1.5%
3602
 
3.5%
25199
30.0%
1545
 
3.1%

EMPDVGYW
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
5661 
3
4894 
2
4350 
9
2414 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9
2nd row2
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
15661
32.7%
34894
28.3%
24350
25.1%
92414
13.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
15661
32.7%
34894
28.3%
24350
25.1%
92414
13.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

ENV_30
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
12222 
1
5097 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
212222
70.6%
15097
29.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
212222
70.6%
15097
29.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

ENVDVCON
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
9812 
1
6448 
3
1059 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
29812
56.7%
16448
37.2%
31059
 
6.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
29812
56.7%
16448
37.2%
31059
 
6.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

ENVDVTYP
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.320861482
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.49515667
Coefficient of variation (CV)3.100091353
Kurtosis28.00790836
Mean5.320861482
Median Absolute Deviation (MAD)1
Skewness5.449185976
Sum92152
Variance272.0901936
MonotonicityNot monotonic
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
17259
41.9%
35116
29.5%
62016
 
11.6%
21691
 
9.8%
4622
 
3.6%
99516
 
3.0%
599
 
0.6%
ValueCountFrequency (%)
17259
41.9%
21691
 
9.8%
35116
29.5%
4622
 
3.6%
599
 
0.6%
62016
 
11.6%
99516
 
3.0%
ValueCountFrequency (%)
99516
 
3.0%
62016
 
11.6%
599
 
0.6%
4622
 
3.6%
35116
29.5%
21691
 
9.8%
17259
41.9%

ENVDVGRW
Real number (ℝ≥0)

HIGH CORRELATION

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.97632658
Minimum10
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum10
5-th percentile10
Q130
median30
Q345
95-th percentile50
Maximum99
Range89
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.95073719
Coefficient of variation (CV)0.4230531001
Kurtosis1.894329782
Mean32.97632658
Median Absolute Deviation (MAD)10
Skewness0.4450435596
Sum571117
Variance194.6230681
MonotonicityNot monotonic
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
307879
45.5%
482490
 
14.4%
102473
 
14.3%
451622
 
9.4%
501596
 
9.2%
201056
 
6.1%
99113
 
0.7%
6090
 
0.5%
ValueCountFrequency (%)
102473
 
14.3%
201056
 
6.1%
307879
45.5%
451622
 
9.4%
482490
 
14.4%
501596
 
9.2%
6090
 
0.5%
99113
 
0.7%
ValueCountFrequency (%)
99113
 
0.7%
6090
 
0.5%
501596
 
9.2%
482490
 
14.4%
451622
 
9.4%
307879
45.5%
201056
 
6.1%
102473
 
14.3%

PPE_05
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
14572 
2
2502 
3
 
245

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
114572
84.1%
22502
 
14.4%
3245
 
1.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
114572
84.1%
22502
 
14.4%
3245
 
1.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_10
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
16534 
2
 
785

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
116534
95.5%
2785
 
4.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
116534
95.5%
2785
 
4.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
15527 
2
1792 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
115527
89.7%
21792
 
10.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
115527
89.7%
21792
 
10.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
15123 
2
2196 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
115123
87.3%
22196
 
12.7%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
115123
87.3%
22196
 
12.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15C
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
13247 
2
4072 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
113247
76.5%
24072
 
23.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
113247
76.5%
24072
 
23.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
15136 
2
2183 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
115136
87.4%
22183
 
12.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
115136
87.4%
22183
 
12.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15E
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
13074 
2
4245 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
113074
75.5%
24245
 
24.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
113074
75.5%
24245
 
24.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15F
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
13836 
2
3483 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
113836
79.9%
23483
 
20.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
113836
79.9%
23483
 
20.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15G
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
10252 
2
7067 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
110252
59.2%
27067
40.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
110252
59.2%
27067
40.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15H
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
12874 
2
4445 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
112874
74.3%
24445
 
25.7%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
112874
74.3%
24445
 
25.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15I
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
14392 
1
2927 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
214392
83.1%
12927
 
16.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
214392
83.1%
12927
 
16.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_15J
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
9437 
2
7882 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
19437
54.5%
27882
45.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
19437
54.5%
27882
45.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_20
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
16810 
2
 
509

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
116810
97.1%
2509
 
2.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
116810
97.1%
2509
 
2.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_25
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
13718 
2
3601 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
113718
79.2%
23601
 
20.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
113718
79.2%
23601
 
20.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_30A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
13394 
1
2177 
3
1418 
4
 
293
5
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
213394
77.3%
12177
 
12.6%
31418
 
8.2%
4293
 
1.7%
537
 
0.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
213394
77.3%
12177
 
12.6%
31418
 
8.2%
4293
 
1.7%
537
 
0.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_30B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
14131 
3
2119 
1
 
584
4
 
440
5
 
45

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
214131
81.6%
32119
 
12.2%
1584
 
3.4%
4440
 
2.5%
545
 
0.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
214131
81.6%
32119
 
12.2%
1584
 
3.4%
4440
 
2.5%
545
 
0.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_30C
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
7234 
2
5014 
3
2748 
4
1527 
5
796 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row5
4th row1
5th row1

Common Values

ValueCountFrequency (%)
17234
41.8%
25014
29.0%
32748
 
15.9%
41527
 
8.8%
5796
 
4.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
17234
41.8%
25014
29.0%
32748
 
15.9%
41527
 
8.8%
5796
 
4.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_30D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
9984 
1
4024 
3
2477 
4
 
679
5
 
155

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
29984
57.6%
14024
23.2%
32477
 
14.3%
4679
 
3.9%
5155
 
0.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
29984
57.6%
14024
23.2%
32477
 
14.3%
4679
 
3.9%
5155
 
0.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_30E
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
9790 
1
3021 
3
2872 
4
1219 
5
 
417

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row3
4th row3
5th row5

Common Values

ValueCountFrequency (%)
29790
56.5%
13021
 
17.4%
32872
 
16.6%
41219
 
7.0%
5417
 
2.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
29790
56.5%
13021
 
17.4%
32872
 
16.6%
41219
 
7.0%
5417
 
2.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_30F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
9540 
1
3537 
3
2324 
4
1295 
5
 
623

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row3
4th row5
5th row5

Common Values

ValueCountFrequency (%)
29540
55.1%
13537
 
20.4%
32324
 
13.4%
41295
 
7.5%
5623
 
3.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
29540
55.1%
13537
 
20.4%
32324
 
13.4%
41295
 
7.5%
5623
 
3.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_30G
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
13783 
3
2420 
1
 
587
4
 
493
5
 
36

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
213783
79.6%
32420
 
14.0%
1587
 
3.4%
4493
 
2.8%
536
 
0.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
213783
79.6%
32420
 
14.0%
1587
 
3.4%
4493
 
2.8%
536
 
0.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_30H
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
13166 
2
2759 
3
 
892
4
 
349
5
 
153

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
113166
76.0%
22759
 
15.9%
3892
 
5.2%
4349
 
2.0%
5153
 
0.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
113166
76.0%
22759
 
15.9%
3892
 
5.2%
4349
 
2.0%
5153
 
0.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_35A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
13787 
1
2231 
3
 
1033
4
 
224
5
 
44

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
213787
79.6%
12231
 
12.9%
31033
 
6.0%
4224
 
1.3%
544
 
0.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
213787
79.6%
12231
 
12.9%
31033
 
6.0%
4224
 
1.3%
544
 
0.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_35B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
15001 
3
 
1235
1
 
787
4
 
249
5
 
47

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
215001
86.6%
31235
 
7.1%
1787
 
4.5%
4249
 
1.4%
547
 
0.3%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
215001
86.6%
31235
 
7.1%
1787
 
4.5%
4249
 
1.4%
547
 
0.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_35C
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
7273 
2
6063 
3
2185 
4
1071 
5
 
727

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row5
4th row1
5th row1

Common Values

ValueCountFrequency (%)
17273
42.0%
26063
35.0%
32185
 
12.6%
41071
 
6.2%
5727
 
4.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
17273
42.0%
26063
35.0%
32185
 
12.6%
41071
 
6.2%
5727
 
4.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_35D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
10769 
1
4253 
3
1709 
4
 
447
5
 
141

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
210769
62.2%
14253
 
24.6%
31709
 
9.9%
4447
 
2.6%
5141
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
210769
62.2%
14253
 
24.6%
31709
 
9.9%
4447
 
2.6%
5141
 
0.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_35E
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
10757 
1
3297 
3
2090 
4
 
804
5
 
371

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row3
4th row2
5th row1

Common Values

ValueCountFrequency (%)
210757
62.1%
13297
 
19.0%
32090
 
12.1%
4804
 
4.6%
5371
 
2.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
210757
62.1%
13297
 
19.0%
32090
 
12.1%
4804
 
4.6%
5371
 
2.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_35F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
10237 
1
3792 
3
1861 
4
 
892
5
 
537

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row3
4th row5
5th row1

Common Values

ValueCountFrequency (%)
210237
59.1%
13792
 
21.9%
31861
 
10.7%
4892
 
5.2%
5537
 
3.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
210237
59.1%
13792
 
21.9%
31861
 
10.7%
4892
 
5.2%
5537
 
3.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_35G
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
14354 
3
1729 
1
 
865
4
 
339
5
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
214354
82.9%
31729
 
10.0%
1865
 
5.0%
4339
 
2.0%
532
 
0.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
214354
82.9%
31729
 
10.0%
1865
 
5.0%
4339
 
2.0%
532
 
0.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_35H
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
12555 
2
3476 
3
 
832
4
 
284
5
 
172

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
112555
72.5%
23476
 
20.1%
3832
 
4.8%
4284
 
1.6%
5172
 
1.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
112555
72.5%
23476
 
20.1%
3832
 
4.8%
4284
 
1.6%
5172
 
1.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
9617 
1
7702 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
29617
55.5%
17702
44.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
29617
55.5%
17702
44.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
10148 
1
7171 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
210148
58.6%
17171
41.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
210148
58.6%
17171
41.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40C
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
14165 
1
3154 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
214165
81.8%
13154
 
18.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
214165
81.8%
13154
 
18.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
12502 
1
4817 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
212502
72.2%
14817
 
27.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
212502
72.2%
14817
 
27.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40E
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
16990 
1
 
329

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
216990
98.1%
1329
 
1.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
216990
98.1%
1329
 
1.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
14910 
1
2409 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
214910
86.1%
12409
 
13.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
214910
86.1%
12409
 
13.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40G
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
15823 
1
 
1496

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
215823
91.4%
11496
 
8.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
215823
91.4%
11496
 
8.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40H
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
15405 
1
1914 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
215405
88.9%
11914
 
11.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
215405
88.9%
11914
 
11.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_40I
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
12555 
1
4764 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
212555
72.5%
14764
 
27.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
212555
72.5%
14764
 
27.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45A
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
12438 
1
4881 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
212438
71.8%
14881
 
28.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
212438
71.8%
14881
 
28.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45B
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
12165 
1
5154 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
212165
70.2%
15154
29.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
212165
70.2%
15154
29.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45C
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
15059 
1
2260 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
215059
87.0%
12260
 
13.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
215059
87.0%
12260
 
13.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45D
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
14274 
1
3045 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
214274
82.4%
13045
 
17.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
214274
82.4%
13045
 
17.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45E
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
17135 
1
 
184

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
217135
98.9%
1184
 
1.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
217135
98.9%
1184
 
1.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
15974 
1
 
1345

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
215974
92.2%
11345
 
7.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
215974
92.2%
11345
 
7.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45G
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
16541 
1
 
778

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
216541
95.5%
1778
 
4.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
216541
95.5%
1778
 
4.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45H
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
16353 
1
 
966

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
216353
94.4%
1966
 
5.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
216353
94.4%
1966
 
5.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_45I
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
10131 
1
7188 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
210131
58.5%
17188
41.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
210131
58.5%
17188
41.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PPE_50A
Real number (ℝ≥0)

HIGH CORRELATION

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.152664704
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.175802992
Coefficient of variation (CV)0.5462081438
Kurtosis1.217600347
Mean2.152664704
Median Absolute Deviation (MAD)1
Skewness1.24117596
Sum37282
Variance1.382512676
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
27423
42.9%
15517
31.9%
31815
 
10.5%
41680
 
9.7%
5550
 
3.2%
6334
 
1.9%
ValueCountFrequency (%)
15517
31.9%
27423
42.9%
31815
 
10.5%
41680
 
9.7%
5550
 
3.2%
6334
 
1.9%
ValueCountFrequency (%)
6334
 
1.9%
5550
 
3.2%
41680
 
9.7%
31815
 
10.5%
27423
42.9%
15517
31.9%

PPE_50B
Real number (ℝ≥0)

HIGH CORRELATION

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.285871009
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.179365372
Coefficient of variation (CV)0.5159369745
Kurtosis0.4270568443
Mean2.285871009
Median Absolute Deviation (MAD)1
Skewness0.9646414666
Sum39589
Variance1.390902681
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
27229
41.7%
14672
27.0%
32363
 
13.6%
42154
 
12.4%
5652
 
3.8%
6249
 
1.4%
ValueCountFrequency (%)
14672
27.0%
27229
41.7%
32363
 
13.6%
42154
 
12.4%
5652
 
3.8%
6249
 
1.4%
ValueCountFrequency (%)
6249
 
1.4%
5652
 
3.8%
42154
 
12.4%
32363
 
13.6%
27229
41.7%
14672
27.0%

PPE_50C
Real number (ℝ≥0)

HIGH CORRELATION

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.739707835
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.27879927
Coefficient of variation (CV)0.466764833
Kurtosis-0.5764150481
Mean2.739707835
Median Absolute Deviation (MAD)1
Skewness0.4827192733
Sum47449
Variance1.635327574
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
26296
36.4%
43987
23.0%
12797
16.1%
32747
15.9%
51081
 
6.2%
6411
 
2.4%
ValueCountFrequency (%)
12797
16.1%
26296
36.4%
32747
15.9%
43987
23.0%
51081
 
6.2%
6411
 
2.4%
ValueCountFrequency (%)
6411
 
2.4%
51081
 
6.2%
43987
23.0%
32747
15.9%
26296
36.4%
12797
16.1%

PPE_50D
Real number (ℝ≥0)

HIGH CORRELATION

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.423465558
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.180751413
Coefficient of variation (CV)0.4872160899
Kurtosis0.2046319558
Mean2.423465558
Median Absolute Deviation (MAD)1
Skewness0.8293245056
Sum41972
Variance1.3941739
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
27189
41.5%
13736
21.6%
32983
17.2%
42427
 
14.0%
5703
 
4.1%
6281
 
1.6%
ValueCountFrequency (%)
13736
21.6%
27189
41.5%
32983
17.2%
42427
 
14.0%
5703
 
4.1%
6281
 
1.6%
ValueCountFrequency (%)
6281
 
1.6%
5703
 
4.1%
42427
 
14.0%
32983
17.2%
27189
41.5%
13736
21.6%

PPE_50E
Real number (ℝ≥0)

HIGH CORRELATION

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.582597148
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.559157866
Coefficient of variation (CV)0.4352032344
Kurtosis-1.102704441
Mean3.582597148
Median Absolute Deviation (MAD)1
Skewness-0.004541261934
Sum62047
Variance2.430973252
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
44061
23.4%
23677
21.2%
52769
16.0%
32646
15.3%
62500
14.4%
11666
9.6%
ValueCountFrequency (%)
11666
9.6%
23677
21.2%
32646
15.3%
44061
23.4%
52769
16.0%
62500
14.4%
ValueCountFrequency (%)
62500
14.4%
52769
16.0%
44061
23.4%
32646
15.3%
23677
21.2%
11666
9.6%

PPE_50F
Real number (ℝ≥0)

HIGH CORRELATION

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.713782551
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size135.4 KiB

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.474662238
Coefficient of variation (CV)0.5433973468
Kurtosis-0.8347918083
Mean2.713782551
Median Absolute Deviation (MAD)1
Skewness0.5468446757
Sum47000
Variance2.174628716
MonotonicityNot monotonic
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
25335
30.8%
14225
24.4%
42753
15.9%
32292
13.2%
52067
 
11.9%
6647
 
3.7%
ValueCountFrequency (%)
14225
24.4%
25335
30.8%
32292
13.2%
42753
15.9%
52067
 
11.9%
6647
 
3.7%
ValueCountFrequency (%)
6647
 
3.7%
52067
 
11.9%
42753
15.9%
32292
13.2%
25335
30.8%
14225
24.4%

GEN_05
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
6917 
3
4599 
1
4129 
4
1426 
5
 
248

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row3
3rd row2
4th row3
5th row1

Common Values

ValueCountFrequency (%)
26917
39.9%
34599
26.6%
14129
23.8%
41426
 
8.2%
5248
 
1.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
26917
39.9%
34599
26.6%
14129
23.8%
41426
 
8.2%
5248
 
1.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

GEN_20
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
4
7304 
3
6604 
5
2131 
2
1138 
1
 
142

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row4
4th row3
5th row2

Common Values

ValueCountFrequency (%)
47304
42.2%
36604
38.1%
52131
 
12.3%
21138
 
6.6%
1142
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
47304
42.2%
36604
38.1%
52131
 
12.3%
21138
 
6.6%
1142
 
0.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

AGEDVG4
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
5047 
2
4798 
3
4271 
4
3203 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row4
4th row1
5th row3

Common Values

ValueCountFrequency (%)
15047
29.1%
24798
27.7%
34271
24.7%
43203
18.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
15047
29.1%
24798
27.7%
34271
24.7%
43203
18.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

GDRDVGRP
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
15316 
1
2003 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
215316
88.4%
12003
 
11.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
215316
88.4%
12003
 
11.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

ISDVFLAG
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
17065 
1
 
254

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
217065
98.5%
1254
 
1.5%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
217065
98.5%
1254
 
1.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PGDVFLA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2
15603 
1
1716 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
215603
90.1%
11716
 
9.9%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
215603
90.1%
11716
 
9.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

IMMDVGST
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
15476 
2
1843 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
115476
89.4%
21843
 
10.6%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
115476
89.4%
21843
 
10.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Worse_MH
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
1
11929 
0
5390 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
111929
68.9%
05390
31.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
111929
68.9%
05390
31.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Interactions

Correlations

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

df_indexGEODVGPREMP_10EMP_35EMP_45EMPDVGOCEMPDVGYWENV_30ENVDVCONENVDVTYPENVDVGRWPPE_05PPE_10PPE_15APPE_15BPPE_15CPPE_15DPPE_15EPPE_15FPPE_15GPPE_15HPPE_15IPPE_15JPPE_20PPE_25PPE_30APPE_30BPPE_30CPPE_30DPPE_30EPPE_30FPPE_30GPPE_30HPPE_35APPE_35BPPE_35CPPE_35DPPE_35EPPE_35FPPE_35GPPE_35HPPE_40APPE_40BPPE_40CPPE_40DPPE_40EPPE_40FPPE_40GPPE_40HPPE_40IPPE_45APPE_45BPPE_45CPPE_45DPPE_45EPPE_45FPPE_45GPPE_45HPPE_45IPPE_50APPE_50BPPE_50CPPE_50DPPE_50EPPE_50FGEN_05GEN_20AGEDVG4GDRDVGRPISDVFLAGPGDVFLAIMMDVGSTWorse_MH
0045211292114511112222212211222223212222232111122122211122122222441424322210
1130111522233011111111112111221112212211122111122222221122222222222333222211
2250211232225011121111111211225233212252332121212122221212122222446324422211
3320223512232011211121222112221135212211252122222222222222222144225233122210
4430111512263011111111112111221155211111111122122222222122222233226212322211
5510211522241011112211222111222222222222222222222222122222222111112133222211
6630211212123011111111111111222222212222222122222222122222222111211113222121
7710211612211011112111122111221232212222322222222222122222222122222413122211
8830211221113011112112111211222222231222222321212222221222222222324435222210
9948222212114811111111112211222222212222222111222222222222222223322113122121

Last rows

df_indexGEODVGPREMP_10EMP_35EMP_45EMPDVGOCEMPDVGYWENV_30ENVDVCONENVDVTYPENVDVGRWPPE_05PPE_10PPE_15APPE_15BPPE_15CPPE_15DPPE_15EPPE_15FPPE_15GPPE_15HPPE_15IPPE_15JPPE_20PPE_25PPE_30APPE_30BPPE_30CPPE_30DPPE_30EPPE_30FPPE_30GPPE_30HPPE_35APPE_35BPPE_35CPPE_35DPPE_35EPPE_35FPPE_35GPPE_35HPPE_40APPE_40BPPE_40CPPE_40DPPE_40EPPE_40FPPE_40GPPE_40HPPE_40IPPE_45APPE_45BPPE_45CPPE_45DPPE_45EPPE_45FPPE_45GPPE_45HPPE_45IPPE_50APPE_50BPPE_50CPPE_50DPPE_50EPPE_50FGEN_05GEN_20AGEDVG4GDRDVGRPISDVFLAGPGDVFLAIMMDVGSTWorse_MH
173091812945222211114511111111111111234352312244523111111111211111111224554523122211
173101813030111512233021111111112212221111222211112222222222122222222122231212122211
173111813148211211114811111111112111224232212222222212212221222222222122434334121210
173121813250212592235011111111111111222111212221112122222222122222222111113125222210
173131813345211292314511111111111111221122211211222121222222222222222212422134322211
173141813445211821234511111111212211222322212223222111112222211212222222236324222211
173151813530122512233011111111112111221122212211222222222222122222222112111212222211
173161813648212222214811112122112111222222222222222222222222122222222122222223212211
173171813750221831235011111111212211222222212222222222222222122222222111116123422211
173181813830221831233011111111112111224222212222222121212222221212222211116112322211